Markus Püschel
13 papers · 2013–2026 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (27) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Conference Pioneer
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Unstoppable · Bronze
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Century Club · Bronze
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Research topics
Machine Learning
(10)
Artificial Intelligence
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Deep Learning
(5)
Core AI
(5)
Optimization & Theory
(5)
Mathematics & Optimization
(4)
Learning Types
(4)
Optimization
(4)
Architectures
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Data Science & Analytics
(2)
Application Areas
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Bayesian & Probabilistic
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Core Methods
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Healthcare & Medicine
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Applications
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Keywords
adversarial robustness
(2)
structural equation model
(2)
pareto optimal
(2)
gaussian process
(2)
formal verification
(2)
active learning
(2)
multi-objective optimization
(2)
neural network verification
(2)
set function
(2)
continuous optimization
(1)
convex relaxation
(1)
expected risk
(1)
mixed integer programming
(1)
fourier transform
(1)
fourier analysis
(1)
bregman divergence
(1)
sequential sampling
(1)
time series
(1)
causal discovery
(1)
directed graph
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Papers
Learning Stable Digraphs from Sparse-Input Linear Structural Causal Models
UAI 2026
SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input
UAI 2025
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data
CLeaR 2025
Learning Bregman Divergences with Application to Robustness
NeurIPS 2024
Learning DAGs from Data with Few Root Causes
NeurIPS 2023
Fourier Analysis-based Iterative Combinatorial Auctions
IJCAI 2022
Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases
AAAI 2021
Beyond the Single Neuron Convex Barrier for Neural Network Certification
NeurIPS 2019
Boosting Robustness Certification of Neural Networks
ICLR 2019
Powerset Convolutional Neural Networks
NeurIPS 2019
Fast and Effective Robustness Certification
NeurIPS 2018
e-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem
JMLR 2016
Active Learning for Multi-Objective Optimization
ICML 2013